Scientific Projects

The NextGeneration project aims at the re-thinking of the terms scientific publication and scientific journal and researching the new generation of publications (multi-layer, enhanced publications, nanopublications, data papers, etc.). We would also like to prepare for a paradigm shift in the handling of primary/raw data, annotations, reviews and open access regarding research papers. A concrete pilot is planned with a Hungarian journal on economics.

The project will focus on the current problems including:

The ER-flow project's aim is to build a European Research Community to promote workflow sharing and to investigate interoperability of the scientific data in workflow sharing.

The project will disseminate the achievements of the FP7 SHIWA project, particularly the coarse-grained workflow interoperability based on the SHIWA Simulation Platform.

BonFIRE will design, build and operate a multi-site Cloud prototype FIRE facility to support research across applications, services and systems at all stages of the R&D lifecycle, targeting the services research community on Future Internet.

Society has reached a point of no return, one that leaves us completely reliant on omnipresent ICT-mediated communication. Mobile and sensor-rich portable devices connect millions of humans with petabytes of data and numerous on-line services. However, tearing down the physical-digital barrier in a scalable fashion requires both radically novel algorithmic knowledge and in-depth understanding of humans and societies.

„Blindness separates us from things, but deafness separates us from people.” (Helen Keller)

Show your voice! The InterpreterGlove system operates as a sign language interpreter, enabling the speech- and hearing-impaired to communicate with the nondisabled using sign language, their native language. As the signs are automatically transformed to text and audible speech, this solution will significantly improve the communication for the hearing-disabled.

Az E+grid adaptív intelligens energia-pozitív közvilágítási rendszer kifejlesztését a napenergia közvilágítási rendszerekben történő felhasználása, az intelligens energiahálózatok (smart grid) terjedése, az energiatakarékosságra való törekvés, valamint az intelligens városokban (smart cities) a közvilágítástól elvárt hozzáadott szolgáltatások motiválták.

The main goal of ProActive is to research a holistic citizen-friendly multi sensor fusion and intelligent reasoning framework enabling the prediction, detection, understanding and efficient response to terrorist interests, goals and curses of actions in an urban environment.To this end, ProActive will rely on the fusion of both static knowledge(i.e. intelligence information) and dynamic information (i.e. data observed from sensors deployed in the urban environment).

The integrated4D (i4D) project of MTA SZTAKI is a joint mission of the Distributed Events Analysis Research Laboratory (DEVA) and the Geometric Modelling and Computer Vision Laboratory (GMCV). The main objective of the project is to design and implement a pilot system for the reconstruction and visualisation of complex spatio-temporal scenes by integrating two different types of data: outdoor 4D point cloud sequences recorded by a car-mounted Velodyne HDL-64E LIDAR sensor, and 4D models of moving actors obtained in an indoor 4D Reconstruction Studio.

The INARMERA-ICT Project aims at reinforcing the cooperation capacity of the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of the Republic of Armenia by providing the possibilities to improve its research activities in the areas of thematic priorities of the 7th Framework Programme.

Earth observation is a growing field of interest in various application areas, such as monitoring agricultural activity, detection of pollution and environmental crimes, management of urban area expansion, crisis management, including civil protection, or homeland security. However, the evaluation of the collected remotely needs exhausting human intervention up to now due to the rich and continuously augmenting content and various aspects of assessment. For this reason, necessity of automated recognition problems in remote sensing is raised by both national and international demands.